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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 14372
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    INDEX
    Explanations

    references to investigations and probes

    oai_token-act-pair · gpt-3.5-turbo

    mentions of investigations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    emonic
    -0.72
    licks
    -0.70
    birth
    -0.66
    aez
    -0.65
    ingers
    -0.61
    cair
    -0.61
    cow
    -0.59
    own
    -0.59
     maiden
    -0.58
    -+
    -0.58
    POSITIVE LOGITS
     involving
    0.91
     investigation
    0.90
     probing
    0.88
     investigates
    0.86
     conducted
    0.86
     undertaken
    0.86
     Investigation
    0.85
     investigating
    0.83
     underway
    0.81
     Probe
    0.80
    Activations Density 0.044%

    No Known Activations